Estimating the natural fluxes of CO2 and CH4 in Amazonia based on the application of a mass balance approach to GeoCarb images
Sarvesh Kumar Singh, Laboratoire des sciences du climat et de l'environnement, CEA-CNRS-UVSQ, Université Paris Saclay, Orme des Merisier, 91191 Gif Sur Yvette, France, sarvesh-kumar.singh@lsce.ipsl.fr (Presenter)
Grégoire Broquet, Laboratoire des sciences du climat et de l'environnement, CEA-CNRS-UVSQ, Université Paris Saclay, Orme des Merisier, 91191 Gif Sur Yvette, France, gregoire.broquet@lsce.ipsl.fr (Presenter)
Luis Molina, International Center for Tropical Agriculture - Regional Office Asia, Hanoï, Vietnam, luis.molinacarpio@gmail.com
Bo Zheng, Laboratoire des sciences du climat et de l'environnement, CEA-CNRS-UVSQ, Université Paris Saclay, Orme des Merisier, 91191 Gif Sur Yvette, France, bo.zheng@lsce.ipsl.fr
Yilong Wang, Laboratoire des sciences du climat et de l'environnement, CEA-CNRS-UVSQ, Université Paris Saclay, Orme des Merisier, 91191 Gif Sur Yvette, France, yilong.wang@lsce.ipsl.fr
Francois-Marie Bréon, Laboratoire des sciences du climat et de l'environnement, CEA-CNRS-UVSQ, Université Paris Saclay, Orme des Merisier, 91191 Gif Sur Yvette, France, breon@lsce.ipsl.fr
Frédéric Chevallier, Laboratoire des sciences du climat et de l'environnement, CEA-CNRS-UVSQ, Université Paris Saclay, Orme des Merisier, 91191 Gif Sur Yvette, France, frederic.chevallier@lsce.ipsl.fr
Philippe Ciais, Laboratoire des sciences du climat et de l'environnement, CEA-CNRS-UVSQ, Université Paris Saclay, Orme des Merisier, 91191 Gif Sur Yvette, France, philippe.ciais@lsce.ipsl.fr
Isabelle Pison, Laboratoire des sciences du climat et de l'environnement, CEA-CNRS-UVSQ, Université Paris Saclay, Orme des Merisier, 91191 Gif Sur Yvette, France, isabelle.pison@lsce.ipsl.fr
Diego Santaren, Laboratoire des sciences du climat et de l'environnement, CEA-CNRS-UVSQ, Université Paris Saclay, Orme des Merisier, 91191 Gif Sur Yvette, France, diego.santaren@lsce.ipsl.fr
Pascal Prunet, SPASCIA, 10 Avenue de l’Europe, 31520 Ramonville Saint Agne, France, pascal.prunet@spascia.fr
Claude Camy-Peyret, IPSL, Sorbonne université 4 place Jussieu, Paris, France, claude.camy-peyret@upmc.fr
Sean Crowell, GeoCarb, University of Oklahoma, 301, David L. Boren Blvd., 4 Partners Place, Suite 1120, Norman, OK 73072 USA, scrowell@ou.edu
Berrien Moore, GeoCarb, University of Oklahoma, 301, David L. Boren Blvd., 4 Partners Place, Suite 1120, Norman, OK 73072 USA, berrien@ou.edu
The GeoCarb mission could dramatically increase the ability to monitor the Greenhouse Gas fluxes in Amazonia. It will be the first satellite mission to observe column average mole fractions of atmospheric CO2 and CH4 (i.e. XCO2 and XCH4) from a geostationary orbit over America. With low cloud cover, it should provide basin wide images over Amazonia at a spatial resolution of 20-30 km2 one to several times during the day. We studied the potential of the mission for the atmospheric inversion of the CO2 Net Ecosystem Exchange (NEE) at ~200-km scale to basin scale in the region using experiments with pseudo observations and a simulation of the atmospheric transport at ~35 km resolution. Our application of a traditional variational inversion approach revealed its weaknesses when using a realistic simulation of the transport model errors. Therefore, we also tested mass balance approach relying on the potentially exhaustive sampling of the XCO2 field one to several times a day. It analyses differences between consecutive images using an imperfect knowledge of the 3D wind fields. Ignoring the cloud cover, the approach reveals to be promising. Approximations are needed to compute the fluxes at the lateral boundaries of a targeted region and between two consecutive scans of GeoCarb. However, for regions covering the whole Amazonia up to ~1000 km x1000 km areas, it generally provides estimates of the NEE with an error of 10-30% with time lags between the two images of less than ~24-30 hours. For smaller regions, the uncertainty in the lateral fluxes makes the computation more challenging, requiring several scans per day. At 300 km x 300 km scale, the error in the NEE 30-70% for a lag of 24 hours. The test of the approach for the estimate of CH4 fluxes lead to similar conclusions.
Poster: Poster_Singh__68_25.pdf
Presentation Type: Poster
Session: 1.2c Results expected from future missions
Session Date: Monday (6/14) 9:45 AM